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(Federated Learning). Analyze Mobile & Wearable Data: You will work with noisy, high-frequency time-series sensor data (e.g., accelerometers, gyroscopes, biosignals) from mobile IoT devices. You will address
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Vacancies Postdoc position on Federated/Continual Learning for Time-Series IoT Data (TRUMAN Project) Key takeaways In this role, you will address the intricate challenge of enabling AI to learn
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research questions in Internet of Things (IoT), Embedded Computing, Pervasive Computing and/or Artificial Intelligence (AI). You will have the freedom to develop your own research line while connecting with
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